文子桃,林承焰,陈仕臻,张建兴

• 1:中国石油大学(华东)地球科学与技术学院

摘要(Abstract)：

与基于像元的两点模拟和基于目标的模拟相比,多点地质统计学能较好地忠实于硬数据(井数据)和再现复杂的地质体形态。在介绍多点模拟算法(Snesim)实现流程的基础上,对Snesim算法中重要的输入参数进行了敏感性分析,结果表明:目标比率越接近训练图像的边缘相概率,模拟效果越好;目标比率一定时,提高伺服参数可使模拟相的比率更接近目标体,但以损失相结构信息为代价;搜索邻域的设计、网格级数的选择取决于训练图像的大小以及需重现的结构信息;此外,在一个较小的数据事件重复数下,随着最大条件数据的增加,其结构信息的再现效果越好,所需机时则呈线性增加。可见,参数设置对多点地质建模中模拟效果的好坏至关重要。

关键词(KeyWords)： 地质建模;多点模拟算法;训练图像;目标比率;搜索邻域;多级网格

Abstract:

Keywords:

基金项目(Foundation): 国家科技重大专项“复杂油气藏精细表征及剩余油分布预测”(编号:2011ZX05009-003)

作者(Author): 文子桃,林承焰,陈仕臻,张建兴

参考文献(References)：

• [1]JOURNEL A G.Geostatistics:Roadblocks and Challenges[M].Springer Netherlands,1993.
• [2]TREBELLE S,JOURNEL A G.Reservoir modeling using multiple-point statistics[R].SPE 71324,2001.
• [3]TREBELLE S B.Sequential simulation for modeling geological structures from training images[J].Stochastic Modelling and Geostatistics,2006(2):139-149.
• [4]尹艳树,冯舒,尹太举.曲流河储层建模方法的比较研究[J].断块油气田,2012,19(1):44-46.YIN Yanshu,FENG Shu,YIN Taiju.Comparison study on modeling method of meandering river reservoir[J].FaultBlock Oil&Gas Field,2012,19(1):44-46.
• [5]LIU Y,JOURNEL A G.Improving sequential simulation with a structured path guided by information content[J].Mathematical Geology,2004,36(8):945-964.
• [6]尹艳树,张昌民,李少华.多点地质统计学原理、方法及应用[M].北京:地质出版社,2013.YIN Yanshu,ZHANG Changmin,LI Shaohua.MultiplePoint Geostatistics:Principle,Method and Application[M].Beijing:Geological Publishing House,2013.
• [7]李苗,耿懿,李璇.地震约束降低储层建模中的不确定性:以委内瑞拉MPE3区块超重油油藏O-11a为目标层研究[J].西安石油大学学报(自然科学版),2016,31(3):39-47,56.LI Miao,GENG Yi,LI Xuan.Reducing uncertainty of reservoir modeling by seismic constraints:taking O-11a super-heavy oilreservoir in MPE3 block of Venezuela as an example[J].Journal of Xi'an Shiyou University(Natural Science Edition),2016,31(3):39-47,56.
• [8]刘超,谢传礼,YANNICK Tepinhi,等.多点地质统计学在储层相建模中的应用[J].断块油气田,2015,22(6):760-764.LIU Chao,XIE Chuanli,YANNICK Tepinhi,et al.Application of multiple-point geostatistics in reservoir facies modeling[J].Fault-Block Oil&Gas Field,2015,22(6):760-764.
• [9]TREBELLE S B.Sequential Simulation Drawing Structures From Training Images[D].Stanford:Stanford University,2000:40-50.
• [10]DEUTSCH Clayton V,JOURNEL A G.GSLIB:Geostatistical software library and user's guide[J].Technometrics,1998,40(4):357.
• [11]吴小军,李晓梅,谢丹,等.多点地质统计学方法在冲积扇构型建模中的应用[J].岩性油气藏,2015,27(5):87-91.WU Xiaojun,LI Xiaomei,XIE Dan,et al.Application ofmultiple-point geostatistics method to structure modeling ofalluvial fan[J].Lithologic Reservoirs,2015,27(5):87-91.
• [12]陈培元,姜楠,杨辉廷,等.由两点到多点的地质统计学储层建模[J].断块油气田,2012,19(5):596-599.CHEN Peiyuan,JIANG Nan,YANG Huiting,et al.Reservoir stochastic modeling using geostatistics from two-point to multiple-point[J].Fault-Block Oil&Gas Field,2012,19(5):596-599.
• [13]ZHANG T,JOUYNEL A G.Merging prior structural interpretation and local data:the multiple-point geostatistics answer[R].Stanford Center for Reservoir Forecasting Annual Report 16.Stanford University,2002.
• [14]TRAN T T.Improving variogram reproduction on dense simulation grids[J].Computers&Geosciences,1994,20(7):1161-1168.